Automated intelligent visualization of data through text and graphics

• US 9,830,948 B1
• Filed: 02/23/2017
• Issued: 11/28/2017
• Est. Priority Date: 04/15/2016
• Status: Active Grant

• Current Assignee: NewBlue, Inc
• Original Assignee: NewBlue, Inc
• Inventors: Fay, Todor
• Primary Examiner(s): Jones, Heather
• Application Number:
  US15/441,160
• Time in Patent Office: 278 Days
• Field of Search: None
• CPC Class Codes: G06F 40/186 Templates
• CPC Class Codes: G11B 27/036 Insert-editing
• CPC Class Codes: G11B 27/34 Indicating arrangements indicating means incorporated in magazine or cassette G11B23/046 and G11B23/0875; indicating measured values in general G01D
• CPC Class Codes: H04N 21/23406 involving management of server-side video buffer
• CPC Class Codes: H04N 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08
• CPC Class Codes: H04N 21/26258 for generating a list of items to be played back in a given order, e.g. playlist, or scheduling item distribution according to such list retrieval of multimedia data based on playlists G06F16/40
• CPC Class Codes: H04N 21/4316 for displaying supplemental content in a region of the screen, e.g. an advertisement in a separate window
• CPC Class Codes: H04N 21/44029 for generating different versions
• CPC Class Codes: H04N 21/4886 for displaying a ticker, e.g. scrolling banner for news, stock exchange, weather data
• CPC Class Codes: H04N 21/8126 involving additional data, e.g. news, sports, stocks, weather forecasts
• CPC Class Codes: H04N 21/8133 specifically related to the content, e.g. biography of the actors in a movie, detailed information about an article seen in a video program
• CPC Class Codes: H04N 21/854 Content authoring

Abstract

Embodiments of the invention relate to an automated, intelligent visualization of data through text and graphics for connecting a wide range of data sources to graphics visualization software and automating its presentation, including building on a standard template driven system for generating graphics from data. Some of these building mechanisms include: Service Handlers, which are plugin components with their own process for converting the data into something uniform, Input Behaviors, which define actions and data to deliver from a service, a system for matching templates to input behaviors by the set of variables in each and the rules for matching them, a Schedule Request mechanism, which connects the data from the service, via the input behavior mechanism, to the correct titles, and handles the assignment of data and then conducts the appropriate actions, and the use of handler defined queues for managing the order of things in parallel.

Claims

1. In a computer-based graphical data management system for matching a plurality of templates in a template library to find a set of titles that match a specific input behavior from a given service handler, a match service method comprising:

generating a global set of variables, wherein the global set of variables is stored in a reject list;

iterating through a plurality of input behaviors, wherein each input behavior includes one or more input behavior variables, wherein all of the input behavior variables are added to the reject list;

selecting at least one specific input behavior variable from the plurality input behavior variables, wherein all specific input behavior variables are stored in a required list;

removing a plurality of instances of all input behavior variables from the reject list;

iterating through each template in the template library and determining all templates having one or more required variables defined in the required list and determining all templates having one or more rejected variables defined in the reject list; and

adding all templates having one or more required variables defined in the required list to an acceptance list, wherein the all templates having one or more required variables defined in the required list excludes any rejected variables.

2. The match service method of claim 1, wherein the one or more required variables are discarded for a plurality of unsupported input behavior variables.

3. The match service method of claim 1, wherein each template is scanned, filtered, and identified by a meta data search mechanism.

4. The match service method of claim 1, wherein a matching title is scheduled by a scheduler for rendering a rendered instance by a render engine.

5. The match service method of claim 4, wherein the scheduler manages a play back of a selected title by a playback API.

6. The match service method of claim 4, wherein each rendered instance represents a section of the matching title as a rendered sequence of video and audio frames, wherein the rendered sequence of video and audio frames is temporarily stored in a render buffer.

7. The match service method of claim 6, wherein each rendered instance is placed in a queue named by a schedule request.

8. The match service method of claim 7, wherein the scheduler maintains a plurality of queues, wherein each queue manages a plurality of status information associated with the rendered instances as each rendered instance go from an empty state to a full state while being processed by the render engine, wherein each rendered instance is scheduled for the play back by the playback API.

9. The match service method of claim 8, wherein the queue prioritizes the play back of the matching title.